Evidence map›Paper›PMID 38302959›Full record

ArticleBMC health services research2024

Implementation of community health care services to counter the SARS-CoV2 pandemic.

Assunta De Luca, Luca Provvidenti, Mario Muselli, Giacinto Di Gianfilippo, Massimiliano Angelucci, Michele Ciro Totaro, Mauro Pitorri, Marzia Marcelli, Marinella D'Innocenzo, Maria Scatigna and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Assunta De LucaLocal Health Unit Rieti, Rieti, Italy.
Luca ProvvidentiLocal Health Unit Rieti, Rieti, Italy.
Mario MuselliDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy. mario.muselli@univaq.it.
Giacinto Di GianfilippoLocal Health Unit Rieti, Rieti, Italy.
Massimiliano AngelucciLocal Health Unit Rieti, Rieti, Italy.
Michele Ciro TotaroLocal Health Unit Rieti, Rieti, Italy.
Mauro PitorriLocal Health Unit Rieti, Rieti, Italy.
Marzia MarcelliDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Marinella D'InnocenzoLocal Health Unit Rieti, Rieti, Italy.
Maria ScatignaDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Riccardo MastrantonioDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Stefano NecozioneDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Leila FabianiDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
University of L'Aquila · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has ravaged many countries worldwide since December 2019. The high infection rates, and the need for health care assistance for individuals with comorbidities, strained the national health care systems around the world. Outbreak peaks increased the burden on hospitals that where perceived as high-risk places by people, who often decided to cancel or defer hospital visits. Thus, Italian Local Health Authorities had to develop new organizational models to meet the increased health care needs of the population. The aim of this study is to assess the impact of strengthened community health services on the hospital burden.

methodsWe analysed the number of Emergency Department access at the Hospital De Lellis covered by the Local Health Authority in Rieti, from March 2020 to November 2021. We then assessed the effects of community health services: the Special District Continuing Care Units (SDCUs) and the the COVID hub, on the COVID-19-related ED access, admission and mortality rates. A Chi-squared test for trend and three multivariable logistic regression models were used to investigate the trends and the possible predictors of COVID ED access, COVID hospital admissions, and deaths.

resultsBeing male (OR = 1.41, CI95% 1.05-1.90; p = 0.022) and older age (OR = 1.03, CI95% 1.02-1.04; p < 0.0001) increase the likelihood of hospitalisation for Sars-CoV-2. The implementation of the nursing and medical SDCUs contributed to reducing COVID-19-related deaths (OR = 0.09, CI95% 0.03-0.29; p < 0.0001). The simultaneous implementation of the COVID hub and of the nursing SDCUs had a synergistic effect in reducing the likelihood of hospitalisation (OR = 0.24, CI95% 0.09-0.65; p = 0.005). The subsequent implementation of the medical SDCUS has further contributed to lowering the admission rates. These protective effects persisted also after potential cofounders, such as age, sex, clinical condition on admission, and the immunisation status, were adjusted.

conclusionsThese measures have helped in the management of patients in a complex context such as that of a pandemic by reducing the hospital load and playing an important role in the management of the pandemic. Further studies could assess the transferability of this model in a non-pandemic context.

Indexed as

COVID-19Community Health ServicesFemaleHumansMalePandemicsRNA, ViralSARS-CoV-2RNA, ViralCommunity health care servicesEmergency departmentHospitalizationLocal health policyPublic healthSARS–CoV-2

Identifiers

PMID38302959
PMCPMC10832205
OpenAlexW4391462420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.